Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

rrel_wgted_ran_sam_search::prob_interval
rrel_affine_est
rrel_cauchy_obj	Cauchy robust loss function
rrel_estimation_problem	Base class for (robust) estimation problems
rrel_homography2d_est	Class to maintain data and optimization model for 2d homography estimation
rrel_homography2d_est_aff	Subclass of the generalized 8-DOF homography estimator for affine transformations (6 DOF)
rrel_irls	Iteratively-reweighted least-squares minimization of an M-estimator
rrel_kernel_density_obj	Kernel Density objective function
rrel_linear_regression	Class to maintain data and optimization model for single linear regression problems
rrel_lms_obj	The Least-Median-of-Squares (LMS) objective function
rrel_lts_obj	The Least-Trimmed-Squares (LTS) objective function
rrel_m_est_obj	Generic implementation for standard M-estimators
rrel_mlesac_obj	MLESAC objective function
rrel_muse_key_type	Look-up table for the MUSET objective function
rrel_muse_table
rrel_muse_table_entry
rrel_muset_obj	The MUSET (MUSE trimmed) objective function, which should be used instead of LMS
rrel_objective	An objective function to be minimised
rrel_orthogonal_regression	Maintain data and optimization model for orthogonal regression problems
rrel_quad_est
rrel_ran_sam_search	Random sampling search for minimization of a robust objective function
rrel_ransac_obj	The objective function for RANSAC
rrel_shift2d_est	Class to maintain data and optimization model for 2d shift estimation
rrel_trunc_quad_obj	Truncated quadratic robust loss function
rrel_tukey_obj	Beaton-Tukey biweight
rrel_wgted_ran_sam_search
rrel_wls_obj	Abstract base class for objective functions that can compute weights